The platform bill keeps climbing
Cloud and AI spend goes up every quarter and nobody can attribute it to anything.
What is actually going on
Spend arrives as one invoice with no attribution, so there is nothing to govern. Tagging by team and use case, then reporting cost per outcome rather than per unit of consumption, is what makes it manageable. For AI specifically, pilot figures mislead because pilots run at low volume with short context.
Who usually owns this
CIO, CFO, Platform engineering lead
How people describe it
- "why is our cloud bill increasing"
- "allocate cloud costs by business unit"
- "reduce AI API costs"
What resolves it
- Cloud & AI Cost Optimization (FinOps). Cloud and AI cost optimization: warehouse and pipeline cost audits, AI and LLM spend control, BI tool rationalization, and a FinOps operating model. Senior-led, self-funding.
- SAP S/4HANA Migration Practice. The data and analytics practice that de-risks SAP ECC to S/4HANA migrations. Readiness, data quality, migration, and reporting, by certified SAP veterans in Austin TX.
Read up on it first
- Why Nobody Can Say What the Cloud Bill Buys. Start here. The spend is rarely out of control because the engineering is wasteful. It is out of control because the invoice has no owner, so every conversation becomes an argument about blame. Only 49% of organisations track unit economics at all, and 98% of FinOps teams now manage AI spend that arrived before anyone decided how to attribute it.
- Cut the Bill or Fix Attribution First?. Choosing an approach. Both reduce spend. They differ in whether the reduction holds after the engagement ends. A saving nobody owns is the one that comes back, which is why attribution decides who the engineering targets go to rather than competing with them.
- How to Scope a Cloud and AI Cost Engagement. Scoping the work. Six items in scope, six deferred, and eight acceptance criteria stated as figures on a named denominator. The one most often resisted is reporting the attribution effect separately from the engineering effect, because that is what shows which half of the saving will come back.
Proof
Annual infrastructure cost from $4.7M to $1.1M
By week 30, all 14 business units were fully integrated into the data mesh. This cut infrastructure costs from $4.7 million to $1.1 million annually. We built cross-unit analytics dashboards that tracked revenue, customer overlap, and operational efficiency for the first time. Switching to a federated ownership model resolved the resistance from business units.
- $4.7M to $1.1M, Annual infrastructure cost.
- 14, Business units on unified mesh.
- 30 wks, Full deployment timeline.
- 0, Business unit escalations.
Getting it approved
Other problems
What is actually going on
Who usually owns this
How people describe it
What resolves it
Read up on it first
Getting it approved
Three pieces, in the order the question usually arrives. Each one is evidence-led and names its sources.
Whoever signs this off is asking a different question from the one you are asking.
is the worksheet for that conversation. Yours whether or not you hire us.